Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use digiplay/kotosmix_diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use digiplay/kotosmix_diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("digiplay/kotosmix_diffusers", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download vae/diffusion_pytorch_model.fp16.bin from digiplay/kotosmix_diffusers: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/digiplay/kotosmix_diffusers/resolve/refs%2Fpr%2F2/vae/diffusion_pytorch_model.fp16.bin
- Command line
-
hf download hf://digiplay/kotosmix_diffusers@refs/pr/2/vae/diffusion_pytorch_model.fp16.bin
-
curl -L -o diffusion_pytorch_model.fp16.bin https://huggingface.co/digiplay/kotosmix_diffusers/resolve/refs%2Fpr%2F2/vae/diffusion_pytorch_model.fp16.bin
167 MB
- Xet hash:
- 612efcb6def4b556772c8469aa8ed1b6915cceece0cc150a734269d680d18e6e
- Size of remote file:
- 167 MB
- SHA256:
- 9ffcff674d87049d669708d456824131424e8e45ea6207aadd4d3037af763d4a
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